Manager, Machine Learning Engineering

Warner Bros. Discovery

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$187,670–$348,530 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $228k
This role $268k
$161k most similar roles pay here $369k

This role pays more than 81% of similar roles. Most pay $197,304–$259,212 — the shaded band above. At the midpoint, this role pays about $268k versus about $228k for comparable roles.

Based on 240 similar postings.

Employer

About Warner Bros. Discovery

Warner Bros. Discovery is a global media and entertainment company operating a broad portfolio of iconic content and brands including Warner Bros. film studio, HBO, CNN, Discovery Channel, and Max streaming service. Industry: Media & Entertainment

Warner Bros. Discovery currently has 69 open roles on FindRole.

Listed pay typically runs $133,070–$247,130 across 48 roles with salary data.

Most-posted roles

View all roles at Warner Bros. Discovery

At a glance

TL;DR · Manager, Machine Learning Engineering

Role Posting Log in to save

Join as a Manager of Machine Learning Engineering in the Video AI & Studio AI team at Warner Bros., leading a group focused on developing next-generation AI systems for video understanding and creative workflows. You will drive the full ML lifecycle from research to production, collaborating with product, engineering, and creative teams to define priorities and deliver impactful features. Responsibilities include hands-on contributions to modeling and prototyping, scaling production-grade ML systems, and providing technical leadership while balancing rapid iteration with robust system development. The role requires expertise in deep learning frameworks like PyTorch and TensorFlow, experience with large-scale datasets and distributed systems, and a strong background in computer vision and multimodal AI.

Skills

PyTorch TensorFlow Python Docker Kubernetes AWS CI/CD PostgreSQL Redis Prometheus Grafana Git Jenkins Scikit-learn OpenCV Hadoop Spark NVIDIA CUDA

What you'll do

  • Lead a team of machine learning engineers on video AI projects.
  • Drive the full ML lifecycle from problem definition to deployment.
  • Build and scale production-grade ML systems for video understanding.
  • Provide technical leadership and mentorship to engineering teams.
  • Collaborate with product and creative teams to deliver impactful features.

What we're looking for

  • 8+ years of experience in machine learning and software engineering with a focus on computer vision and video understanding.
  • Proven track record of building and deploying end-to-end ML systems in production environments.
  • Strong hands-on leadership experience managing or mentoring engineers in machine learning projects.
  • Expertise in deep learning frameworks such as PyTorch and TensorFlow, along with generative AI techniques.
  • Experience working with large-scale datasets and distributed systems for scalable solutions.
  • Excellent system design and architecture skills to build robust ML production systems.

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